In-Depth Review of Augmented Reality: Tracking Technologies, Development Tools, AR Displays, Collaborative AR, and...

Area of Science:

• Computer Science
• Human-Computer Interaction
• Cybersecurity

Background:

• Augmented reality (AR) integrates virtual elements with the real world using technologies like tracking and display.
• Advances in distributed computing and collaborative AR (CAR) enable multiple users to interact in shared virtual spaces.
• Current CAR implementations lack robust security, particularly in distributed trust management.

Purpose of the Study:

• To provide a comprehensive review of existing AR solutions and identify research gaps.
• To address the identified lack of security solutions in collaborative augmented reality (CAR).
• To propose a novel, trusted CAR architecture for secure remote communication.

Main Methods:

• Literature review of AR technologies, including tracking, display, and authoring tools.
• Analysis of security challenges in distributed and collaborative augmented reality environments.
• Development of a trusted CAR architecture with a specific use-case.

Main Results:

• Identified a significant deficiency in distributed trust management within collaborative AR systems.
• Proposed a secure CAR architecture designed to enhance trust and reliability.
• Demonstrated the architecture's potential through a tourism use-case.

Conclusions:

• There is a pressing need for enhanced security measures in collaborative augmented reality.
• The proposed trusted CAR architecture offers a viable model for secure AR-based remote interactions.
• This research provides a foundation for future work in secure CAR development, especially for business transformations.